A cognitive-heuristic framework for optimization of spaceplane-system configurations

Ali Sarosh; Yun Feng Dong; Shi Ming Chen

doi:10.1007/978-3-642-37835-5_42

A cognitive-heuristic framework for optimization of spaceplane-system configurations

Ali Sarosh^*
, Yun Feng Dong
, Shi Ming Chen

^*Corresponding author for this work

School of Astronautics

National University of Sciences and Technology Pakistan
Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

A cognitive-heuristic framework for interconnecting analytical aerothermodynamics and mass-modeling parameters to heuristic optimizer is proposed. It evaluates a complex highly-integrated forebody-inlet configuration and representative hypersonic spaceplane based on minimal input data of flight altitude and Mach number only. SHWAMIDOF-FI design tool is used which incorporates salient features of multi-stage cognitive work approach integrated to heuristic optimization. Results show substantial improvement in geometric, performance, and flow parameters as compared to baseline configuration.

Original language	English
Pages (from-to)	489-500
Number of pages	12
Journal	Advances in Intelligent Systems and Computing
Volume	215
DOIs	https://doi.org/10.1007/978-3-642-37835-5_42
State	Published - 2014

Keywords

Analytical aerothermodynamics
Cognitive-heuristic framework
Forebody-inlet configuration
Heuristic optimization
Mass-modeling

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10.1007/978-3-642-37835-5_42

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abstract = "A cognitive-heuristic framework for interconnecting analytical aerothermodynamics and mass-modeling parameters to heuristic optimizer is proposed. It evaluates a complex highly-integrated forebody-inlet configuration and representative hypersonic spaceplane based on minimal input data of flight altitude and Mach number only. SHWAMIDOF-FI design tool is used which incorporates salient features of multi-stage cognitive work approach integrated to heuristic optimization. Results show substantial improvement in geometric, performance, and flow parameters as compared to baseline configuration.",

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doi = "10.1007/978-3-642-37835-5\_42",

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AU - Dong, Yun Feng

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AB - A cognitive-heuristic framework for interconnecting analytical aerothermodynamics and mass-modeling parameters to heuristic optimizer is proposed. It evaluates a complex highly-integrated forebody-inlet configuration and representative hypersonic spaceplane based on minimal input data of flight altitude and Mach number only. SHWAMIDOF-FI design tool is used which incorporates salient features of multi-stage cognitive work approach integrated to heuristic optimization. Results show substantial improvement in geometric, performance, and flow parameters as compared to baseline configuration.

KW - Analytical aerothermodynamics

KW - Cognitive-heuristic framework

KW - Forebody-inlet configuration

KW - Heuristic optimization

KW - Mass-modeling

UR - https://www.scopus.com/pages/publications/84885034899

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DO - 10.1007/978-3-642-37835-5_42

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JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

ER -

A cognitive-heuristic framework for optimization of spaceplane-system configurations

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Keywords

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